Senior Machine Learning Engineer (Infrastructure/Operations - Fraud)

Join Plaid as a Senior Machine Learning Engineer, where you will develop high-performance feature computation and online inference pipelines for production machine learning systems. You will build observability, monitoring, and automated debugging capabilities, and collaborate closely with ML Infrastructure, Data Science, and Product teams. This role offers competitive pay, comprehensive health benefits, and lifestyle perks.

Ownership of the development of high-performance feature computation and online inference pipelines for production machine learning systems.

USD 228,960 - 315,360

About Plaid

• Strong experience with ML infrastructure and operations, including production deployment, monitoring, and reliability
• We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Responsibilities

• Building robust observability, monitoring, and automated debugging capabilities to maintain high reliability of machine learning systems.
• Collaboration with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions.

Requirements

• 6+ years of relevant experience, with a strong focus on building, deploying, and scaling production machine learning systems
• Proficiency with Python and experience with ML and data technologies such as PyTorch, Spark, SageMaker, and Airflow
• Proven ability to independently own and deliver complex, end-to-end machine learning engineering projects

Preferred

• Experience in Graph machine learning
• Experience in fraud or risk domains